Podcast · 498 episodes on record

#144 – Michael Littman: Reinforcement Learning and the Future of AI

Published

December 13, 2020

Length

2 hr 1 min

Episode

144

Type

Full

Position

144 of 498

Episode 144 · December 13, 2020

#144 – Michael Littman: Reinforcement Learning and the Future of AI

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Summary

Michael Littman is a computer scientist at Brown University. Please support this podcast by checking out our sponsors:

– SimpliSafe: <a href="https://simplisafe.com/lex">https://simplisafe.com/lex</a> and use code LEX to get a free security camera

– ExpressVPN: <a href="https://expressvpn.com/lexpod">https://expressvpn.com/lexpod</a> and use code LexPod to get 3 months free

– MasterClass: <a href="https://masterclass.com/lex">https://masterclass.com/lex</a> to get 2 for price of 1

– BetterHelp: <a href="https://betterhelp.com/lex">https://betterhelp.com/lex</a> to get 10% off

EPISODE LINKS:

Michael’s Twitter: <a href="https://twitter.com/mlittmancs">https://twitter.com/mlittmancs</a>

Michael’s Website: <a href="https://www.littmania.com/">https://www.littmania.com/</a>

Michael’s YouTube: <a href="https://www.youtube.com/user/mlittman">https://www.youtube.com/user/mlittman</a>

PODCAST INFO:

Podcast website: <a href="https://lexfridman.com/podcast">https://lexfridman.com/podcast</a>

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RSS: <a href="https://lexfridman.com/feed/podcast/">https://lexfridman.com/feed/podcast/</a>

YouTube Full Episodes: <a href="https://youtube.com/lexfridman">https://youtube.com/lexfridman</a>

YouTube Clips: <a href="https://youtube.com/lexclips">https://youtube.com/lexclips</a>

SUPPORT & CONNECT:

– Check out the sponsors above, it’s the best way to support this podcast

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– Medium: <a href="https://medium.com/@lexfridman">https://medium.com/@lexfridman</a>

OUTLINE:

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#144 – Michael Littman: Reinforcement Learning and the Future of AI

Search the Record

Boston Dynamics Episodes Around December 13, 2020

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#130 – Scott Aaronson: Computational Complexity and Consciousness

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#132 – George Hotz: Hacking the Simulation & Learning to Drive with Neural Nets

#133 – Manolis Kellis: Biology of Disease

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#135 – Charles Isbell: Computing, Interactive AI, and Race in America

#136 – Dan Carlin: Hardcore History

#137 – Alex Filippenko: Supernovae, Dark Energy, Aliens & the Expanding Universe

#138 – Yaron Brook: Ayn Rand and the Philosophy of Objectivism

#139 – Andrew Huberman: Neuroscience of Optimal Performance

#140 – Lisa Feldman Barrett: Love, Evolution, and the Human Brain

#141 – Erik Brynjolfsson: Economics of AI, Social Networks, and Technology

#142 – Manolis Kellis: Meaning of Life, the Universe, and Everything

#143 – John Clarke: The Art of Fighting and the Pursuit of Excellence

#144 – Michael Littman: Reinforcement Learning and the Future of AI

#145 – Matthew Johnson: Psychedelics

#146 – Michael Mina: Rapid Testing, Viruses, and the Engineering Mindset

#147 – Dmitri Dolgov: Waymo and the Future of Self-Driving Cars

#148 – Charles Isbell and Michael Littman: Machine Learning and Education

#149 – Diana Walsh Pasulka: Aliens, Technology, Religion, and the Nature of Belief

#150 – Michael Malice: The White Pill, Freedom, Hope, and Happiness Amidst Chaos

#151 – Dan Kokotov: Speech Recognition with AI and Humans

#152 – Dan Gable: Olympic Wrestling, Mental Toughness & the Making of Champions

#153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI

#154 – Avi Loeb: Aliens, Black Holes, and the Mystery of the Oumuamua

#155 – Max Tegmark: AI and Physics

Lex Fridman: Ask Me Anything – AMA January 2021

#156 – Tim Dillon: Comedy, Power, Conspiracy Theories, and Freedom

#157 – Natalya Bailey: Rocket Engines and Electric Spacecraft Propulsion

#158 – Zev Weinstein: The Next Generation of Big Ideas and Brave Minds

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